NEAT-foundation
Published:
NeuroEvolution of Augmenting Topologies to optimize foundation beams of structures
Published:
NeuroEvolution of Augmenting Topologies to optimize foundation beams of structures
Published:
of fiber reinforced polymers with variational autoencoders and bayesian optimization
Published:
A benchmark testing LLMs robustness against bad fine-tuning data (Hackathon project)
Published:
A graph neural network that predicts full-field microscopic strains while keeping the original constitutive law in the loop, accelerating FE² multiscale simulations and generalising across unseen microstructures.
Published:
DAISR competition project - 2nd place project.
Published:
Mechanistic Interpretability Via Learning Differential Equations
Published:
Facilitated BlueDot Impact’s AI Alignment courses
Published:
Adaptive mixing of physics-based and data-driven models
Published:
(unfinished) project monitoring key indicators of AI’s influence
Published:
An iterative generative art project where an LLM repeatedly extends a p5.js simulation by one feature at a time, producing increasingly complex visuals.